Device personalization for heterogeneous populations: leveraging physician expertise and national population data to identify medical device patient user groups

Author(s):  
Benjamin M. Knisely ◽  
Monifa Vaughn-Cooke ◽  
Lee-Ann Wagner ◽  
Jeffrey C. Fink
2020 ◽  
Vol 54 (4) ◽  
pp. 258-268
Author(s):  
Naomi Cherne ◽  
Rebecca Moses ◽  
Sarah M. Piperato ◽  
Carmen Cheung

Abstract Instructions for use (IFUs) often are used as risk control measures for medical devices with the potential to expose users or others to use-related hazards and hazardous situations that are not entirely mitigated by device design. In the authors' extensive experience observing representative users interact with medical devices in simulated-use studies, individuals' engagement with medical device IFUs varies widely. This variance raises questions regarding how various user groups use IFUs and the factors that make an IFU stronger or weaker for its intended users, uses, and use environments. An online survey was conducted to examine (1) first-time use of medical device IFUs, (2) how first-time use strategies vary across typical user groups for medical devices (e.g., patients, lay caregivers, and healthcare professionals), and (3) which design elements promote initial engagement with IFUs. The results showed that IFUs are used in a variety of ways, including as preparation before use, as guides during use, and as troubleshooting resources during use, as well as that IFUs are not used at all. Overall, the user groups tested responded similarly across all of the survey questions. Bullet point organization, figures, and logical flow were reported to be the most engaging design elements. Small font size and poor organization and flow were reported to be the least engaging design elements. IFU designers can use various usability testing methods to assess their assumptions regarding how a product's users will use the IFU and to make the IFU more engaging.


2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Erik Jedenius ◽  
A. Wimo ◽  
J. Strömqvist ◽  
J. Fastbom ◽  
B. Winblad ◽  
...  

2018 ◽  
Vol 15 (147) ◽  
pp. 20180530 ◽  
Author(s):  
Steffen Waldherr

Heterogeneity among individual cells is a characteristic and relevant feature of living systems. A range of experimental techniques to investigate this heterogeneity is available, and multiple modelling frameworks have been developed to describe and simulate the dynamics of heterogeneous populations. Measurement data are used to adjust computational models, which results in parameter and state estimation problems. Methods to solve these estimation problems need to take the specific properties of data and models into account. The aim of this review is to give an overview on the state of the art in estimation methods for heterogeneous cell population data and models. The focus is on models based on the population balance equation, but stochastic and individual-based models are also discussed. It starts with a brief discussion of common experimental approaches and types of measurement data that can be obtained in this context. The second part describes computational modelling frameworks for heterogeneous populations and the types of estimation problems occurring for these models. The third part starts with a discussion of observability and identifiability properties, after which the computational methods to solve the various estimation problems are described.


2004 ◽  
Author(s):  
Ibraheem S. Al-Tarawneh ◽  
Walter J. Stevens ◽  
Steven R. Arndt

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